An Improved Baseline Framework for Pose Estimation Challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop
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Abstract (arXiv)
This technical report describes our first-place solution to the pose estimation challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop. In this challenge, we aim to estimate human poses from in-the-wild stitched panoramic images. Our method is built based on Faster R-CNN for human detection, and HRNet for human pose estimation. We describe technical details for the JRDB-Pose dataset, together with some experimental results. In the competition, we achieved 0.303 OSPAIOU and 64.047% AP0.5 on the test set of JRDB-Pose.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 9 of its 13 references that are in the map. First posted on arXiv 13 Mar 2023.
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References · 9
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- 2022JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Trackingcited by 25
- 2016Pose for Action - Action for Posecited by 16
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